C

CScale

Optical interconnects for large-scale AI infrastructure

MTS SoC Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong hands-on experience in SystemVerilog and Universal Verification Methodology (UVM).
  • Solid understanding of system-on-chip testbench architecture and test-plan creation.
  • Expertise in power-aware verification, including Unified Power Format (UPF)-based methodologies and gate-level simulation.
  • Experience in design verification sign-off flows and rigorous checklist-based tracking to ensure completeness.
  • Strong debugging skills across register-transfer level (RTL), integration, and hardware-software interaction.

Responsibilities

  • Define and drive verification strategy across subsystem- and system-on-chip-level domains.
  • Develop a verification environment from scratch for complex system-on-chip designs using C-based and UVM methodologies.
  • Develop and manage comprehensive test plans and coverage models.
  • Collaborate with design teams to define system boot, reset sequence, and design configuration for various use cases.
  • Collaborate with the design team to define debug architecture and verify debug and trace functionality.
  • Manage project milestones, deliverables, schedules, and cross-functional dependencies.
  • Lead waveform and code reviews with team members and own technical documentation.
  • Mentor and grow teams of design verification engineers, including external contractors.
  • Own verification and final sign-off through multiple review cycles encompassing functional correctness, power analysis, performance validation, gate-level simulations, and comprehensive coverage closure.
  • Support firmware and software bring-up and post-silicon debugging.

Desired Qualifications

  • Python or Tcl scripting experience and post-silicon bring-up experience.
  • Performance modeling and benchmarking experience.

About the Company

CScale

Optical interconnects for large-scale AI infrastructure

CScale builds optical interconnects for large-scale AI computing. Its integrated light engines power gigawatt-scale AI facilities by containing optical failures and keeping compute running across thousands of closely connected accelerators. The hardware provides high-bandwidth, ultra-low-latency optical links to connect accelerators across racks, making data movement between chips dependable for continuous AI workloads. Unlike many data-center components that rely on electronic signaling, CScale focuses on silicon photonics and photonic hardware to deliver scalable, reliable communication at scale. Founded in 2023 in Palo Alto, the company exited stealth in 2026 and has investors including NVIDIA and Intel Capital. Its goal is to enable uninterrupted AI training and inference across large AI infrastructure by delivering dependable optical interconnects that scale as data-center needs grow.

Company size
51-200
Company stage
Series C
Total funding
$145M
Headquarters
Palo Alto, CA
Founded
2023

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